A statistical machine translation system, optimized for low-resource languages, uses a neural attention mechanism. If the training data contains substantial code-switched sentences, which outcome is most likely?

💡 Explanation

The system exhibits improved transfer learning capability because the neural attention mechanism learns cross-lingual alignments. This allows it to generalize better to new, related languages; therefore, transfer learning improves rather than reduced generalization because the attention mechanism learns to handle mixed-language inputs.

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